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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1016/bs.arm...
Part of book or chapter of book . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Antibody-Drug Conjugates

Authors: Amit Kumar; Jason White; R. James Christie; Nazzareno Dimasi; Changshou Gao;

Antibody-Drug Conjugates

Abstract

Abstract Antibody–drug conjugates (ADCs) are designed with the purpose of delivering small-molecule cytotoxic drug to antigen-expressing tumor cells by harnessing the specificity, biodistribution, and pharmacokinetics of antibodies. ADCs are comprised of three components: the antibody, the linker, and the cytotoxic agent. To achieve the desired goal of targeted therapy with anticipated efficacy and safety profiles, each ADC component must be carefully selected and optimized. In this chapter, we introduce the main concepts and technologies associated with clinical development of ADCs. Considerations regarding ADC production such as drug–antibody conjugation, linker technologies, and cytotoxic agents are discussed. In addition, we describe analytical methods to characterize ADC products for assessment of drug content and purity. Finally, mechanistic aspects ADCs in vivo and the underlying key factors effecting on- and off-target toxicities are introduced.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Average
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